Package: adelie
Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Version: 1.0.7
Date: 2025-02-27
Authors@R: c(
    person("James", "Yang", , "jamesyang916@gmail.com", role = c("aut", "cph")),
    person("Trevor", "Hastie", , "hastie@stanford.edu", role = c("aut", "cph", "cre")),
    person("Balasubramanian", "Narasimhan", , "naras@stanford.edu", role = c("aut")))
Description: Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed.  This package provides  R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, 
    a wide range of matrix classes that can exploit special structure 
    to allow large-scale inputs, and an assortment of 
    generalized linear model classes for fitting various types of data. 
    The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++17
Imports: Matrix, r2r, Rcpp, methods, stringr, utils
Suggests: ggplot2, gridExtra, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/JamesYang007/adelie-r
BugReports: https://github.com/JamesYang007/adelie-r/issues
NeedsCompilation: yes
Packaged: 2025-02-27 15:23:01 UTC; hastie
Author: James Yang [aut, cph],
  Trevor Hastie [aut, cph, cre],
  Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>
Repository: CRAN
Date/Publication: 2025-02-28 17:50:02 UTC
Built: R 4.3.3; x86_64-w64-mingw32; 2025-04-07 01:54:42 UTC; windows
Archs: x64
